Information Processing Apparatus with Non-Response Target Detection
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Solution Overview
Problem
Existing language models lack measures to handle inappropriate responses, leading to potential violations of laws, social norms, or inappropriate content generation.
Innovation Solution
An information processing apparatus with a generation unit, reception unit, and determination unit that determines whether a user request is a non-response target using explicit and implicit criteria, and generates appropriate responses or non-responses based on these determinations, employing multiple language models and natural language processing to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a language model is used to generate responses to user requests, then the responsiveness and helpfulness of the system is improved, but the risk of generating inappropriate content increases
Solution Approach 1:
The system performs preliminary determination before generating a response by first determining whether the request is a non-response target based on pre-stored criteria. This preliminary action prevents inappropriate content generation by filtering out requests that should not be answered, while still maintaining the ability to respond helpfully to appropriate requests.
Solution Approach 2:
The determination unit acts as an intermediary between the user request and the language model. It receives the request, determines whether it should be processed, and only allows appropriate requests to reach the language model for response generation. This intermediary function filters out inappropriate requests before they can result in harmful output.
2Measurement precision
If explicit non-response determination is implemented, then the accuracy of filtering inappropriate requests is improved, but the system complexity increases
Solution Approach 1:
The system segments the response generation process into distinct functional units: a determination unit that handles non-response determination, and a language model unit that handles response generation. This segmentation allows the determination unit to focus on accuracy for filtering inappropriate requests while the language model handles the creative generation, reducing overall system complexity through functional separation.
Solution Approach 2:
The determination unit serves multiple functions: it determines whether a request is a non-response target, and when appropriate requests are identified, it can also generate determination responses. This multi-functionality reduces the need for separate specialized components, thereby reducing system complexity while maintaining high determination accuracy.
3Measurement precision
If multiple language models are used for different determination tasks, then the accuracy of request classification is improved, but the computational resources required increase
Solution Approach 1:
The system uses multiple language models partially - specifically, one language model is used for determining non-response targets and another for generating responses. This partial application of multiple models only where needed allows the system to achieve high classification accuracy through model specialization while minimizing computational resource consumption compared to using multiple models for all tasks.
Data Source
AI summary
An information processing apparatus according to the present application includes a generation unit, a reception unit, and a determination unit. The generation unit generates non-response target information indicating a non-response target. The reception unit receives information indicating a request of a user. The determination unit determines, based on a plurality of pieces of non-response target information generated by the generation unit, whether the request indicated by the information received by the reception unit is a request concerning a non-response target.